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A positive value is a value that is greater than zero.

A negative value is a value that is less than zero.

Q: What do positive and negative values mean?

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The mean would be negative, but standard deviation is always positive.

An absolute mean is a mean of the absolute magnitude of a function with both positive and negative values.

Positive values : 1, 2, 3, 4, 5 Positive is a plus. Negative values:-1,-2,-3,-4,-5 Negative is minus.

[ -2n ] is positive for all negative values of 'n' .

The positive regions of a function are those intervals where the function is above the x-axis. It is where the y-values are positive (not zero). The negative regions of a function are those intervals where the function is below the x-axis. It is where the y-values are negative (not zero).

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The mean would be negative, but standard deviation is always positive.

An absolute mean is a mean of the absolute magnitude of a function with both positive and negative values.

If you subtract a negative from a positive, add both of their absolute values. If you subtract a positive from a negative, add both of their absolute values and multiply by negative one.

Positive values : 1, 2, 3, 4, 5 Positive is a plus. Negative values:-1,-2,-3,-4,-5 Negative is minus.

[ -2n ] is positive for all negative values of 'n' .

No. Probability values always have to be positive.

That depends on the values of the given numbers but a positive number multiplied by a negative number will be negative

Positive for nonmetals and negative for metals

Yes, it can. This happens when all of the observations are equal. This can also happen when some values are negative and some are positive (assuming that the variable under consideration can assume negative values).

If the points have both positive y-values and x-values it is quadrant 1 If the points have a negative x-value and a positive y-value it is quadrant 2 If the points have both negative y-values and x-values it is quadrant 3 If the points have a positive x-values and a negative y-value it is quadrant 4

The positive regions of a function are those intervals where the function is above the x-axis. It is where the y-values are positive (not zero). The negative regions of a function are those intervals where the function is below the x-axis. It is where the y-values are negative (not zero).

It could be either.